Buch, Englisch, Band 8151, 674 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 10584 g
16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part III
Buch, Englisch, Band 8151, 674 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 10584 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-642-40759-8
Verlag: Springer
The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee carefully selected 262 revised papers from 789 submissions for presentation in three volumes. The 81 papers included in the third volume have been organized in the following topical sections: image reconstruction and motion modeling; machine learning in medical image computing; imaging, reconstruction, and enhancement; segmentation; physiological modeling, simulation, and planning; intraoperative guidance and robotics; microscope, optical imaging, and histology; diffusion MRI; brain segmentation and atlases; and functional MRI and neuroscience applications.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
Image reconstruction and motion modeling.- Machine learning in medical image computing.- Imaging, reconstruction, and enhancement.- Segmentation.- Physiological modeling, simulation, and planning.- Intraoperative guidance and robotics.- Microscope, optical imaging, and histology.- Diffusion MRI.- Brain segmentation and atlases.- Functional MRI and neuroscience applications.
